distributed information systems

The authors developed a system of criteria for assessing data quality in the context of distributed information systems. The article describes a set of data quality dimensions formulated based on the challenges of data storage and processing in distributed environments. The main objective of the research is to identify the primary requirements and challenges faced by distributed information resources and to satisfy them with specifically selected data quality criteria.

The article is devoted to the problem of processing and analysis of large amounts of data. Today, with
the advent of sources of information that can produce large amounts of data, data collection is becoming
an increasingly complex institution. To solve this problem, a wide range of technologies for specific
purposes has been developed. However, most of them can be attributed to two paradigms of data
processing, namely streaming and batch. In this article, we will consider the above paradigms and

The problem of optimal processing tasks in the nodes of a distributed information system on the basis of a mathematical model belonging to a class of two-clustering problems, for which an optimization problem with a fractional linear target function is formulated, was investigated.